Risk prediction and early intervention strategies for persistent SARS-CoV-2 infection in patients with non-Hodgkin lymphoma: a retrospective cohort study.

IF 2.6 3区 医学 Q2 RESPIRATORY SYSTEM BMC Pulmonary Medicine Pub Date : 2025-03-15 DOI:10.1186/s12890-025-03524-0
Wailong Zou, Jia Zhang, Yulin Li, Yuwei Cao, Jiaxin Li, Zhe Zhang, Xin Zhang, Chuan Song, Rui Yang, Yaxin Yan, Yumin Wang, Xinjun Zhang, Zhe Xu, Jichao Chen
{"title":"Risk prediction and early intervention strategies for persistent SARS-CoV-2 infection in patients with non-Hodgkin lymphoma: a retrospective cohort study.","authors":"Wailong Zou, Jia Zhang, Yulin Li, Yuwei Cao, Jiaxin Li, Zhe Zhang, Xin Zhang, Chuan Song, Rui Yang, Yaxin Yan, Yumin Wang, Xinjun Zhang, Zhe Xu, Jichao Chen","doi":"10.1186/s12890-025-03524-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Patients with non-Hodgkin lymphoma (NHL) face heightened mortality and accelerated disease progression when persistently infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This critical situation underscores the urgent need to identify risk factors and establish early intervention strategies tailored to this vulnerable population. The primary aim of this study was to investigate the risk factors associated with persistent SARS-CoV-2 infection in NHL patients during the COVID-19 pandemic.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted using data from January 2020 to June 2024, obtained from the Aerospace Center Hospital's database, electronic health records, and laboratory archives. Inclusion criteria comprised patients with confirmed NHL and SARS-CoV-2 infection, with persistence defined as positive viral test results beyond 14 days after initial diagnosis. Patients with incomplete medical records or loss of follow-up were excluded. Predictive models were developed and refined using logistic regression and random forest algorithms. The models incorporated data on demographics, comorbidities, laboratory findings, and imaging results. Model performance was evaluated using accuracy, precision, and the area under the receiver operating characteristic curve (AUC-ROC). Validation was conducted on an independent dataset to ensure generalizability, and the best-performing model guided the development of a prediction tool for early risk assessment and intervention.</p><p><strong>Results: </strong>Key risk factors for persistent SARS-CoV-2 infection in NHL patients included advanced age, hypertension, diabetes, immunosuppressed status, low lymphocyte count, elevated C-reactive protein, high body mass index, anemia, reduced CD4 + cell count, and the presence of lung lesions. The random forest model demonstrated superior predictive performance, achieving an AUC of 0.93. The study further highlighted that prompt antiviral therapy, adjustments to immunosuppressive regimens, and enhanced monitoring significantly reduced infection persistence.</p><p><strong>Conclusions: </strong>This study identifies critical risk factors for persistent SARS-CoV-2 infection in NHL patients and underscores the importance of early intervention strategies. These findings may guide clinical decision-making to improve outcomes in this high-risk population.</p>","PeriodicalId":9148,"journal":{"name":"BMC Pulmonary Medicine","volume":"25 1","pages":"122"},"PeriodicalIF":2.6000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11910862/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Pulmonary Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12890-025-03524-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Patients with non-Hodgkin lymphoma (NHL) face heightened mortality and accelerated disease progression when persistently infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This critical situation underscores the urgent need to identify risk factors and establish early intervention strategies tailored to this vulnerable population. The primary aim of this study was to investigate the risk factors associated with persistent SARS-CoV-2 infection in NHL patients during the COVID-19 pandemic.

Methods: A retrospective cohort study was conducted using data from January 2020 to June 2024, obtained from the Aerospace Center Hospital's database, electronic health records, and laboratory archives. Inclusion criteria comprised patients with confirmed NHL and SARS-CoV-2 infection, with persistence defined as positive viral test results beyond 14 days after initial diagnosis. Patients with incomplete medical records or loss of follow-up were excluded. Predictive models were developed and refined using logistic regression and random forest algorithms. The models incorporated data on demographics, comorbidities, laboratory findings, and imaging results. Model performance was evaluated using accuracy, precision, and the area under the receiver operating characteristic curve (AUC-ROC). Validation was conducted on an independent dataset to ensure generalizability, and the best-performing model guided the development of a prediction tool for early risk assessment and intervention.

Results: Key risk factors for persistent SARS-CoV-2 infection in NHL patients included advanced age, hypertension, diabetes, immunosuppressed status, low lymphocyte count, elevated C-reactive protein, high body mass index, anemia, reduced CD4 + cell count, and the presence of lung lesions. The random forest model demonstrated superior predictive performance, achieving an AUC of 0.93. The study further highlighted that prompt antiviral therapy, adjustments to immunosuppressive regimens, and enhanced monitoring significantly reduced infection persistence.

Conclusions: This study identifies critical risk factors for persistent SARS-CoV-2 infection in NHL patients and underscores the importance of early intervention strategies. These findings may guide clinical decision-making to improve outcomes in this high-risk population.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
BMC Pulmonary Medicine
BMC Pulmonary Medicine RESPIRATORY SYSTEM-
CiteScore
4.40
自引率
3.20%
发文量
423
审稿时长
6-12 weeks
期刊介绍: BMC Pulmonary Medicine is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of pulmonary and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
期刊最新文献
Impact of patient admission source on respiratory intensive care unit outcomes. Prevalence of chronic obstructive pulmonary disease in high-risk populations at low, intermediate, high altitudes: a population based cross-sectional study in Yunnan Province, China. A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections. CT-Based radiomics nomogram of lung and mediastinal features to identify cardiovascular disease in chronic obstructive pulmonary disease: a multicenter study. Effect of asthma education intervention on self-management knowledge and control level in Tigray, Northern Ethiopia: a quasi experimental study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1